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Field
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classification. Strong background in experimental design, statistical sampling and analysis in field settings. Skilled in GNSS‑based geolocation, GIS software (e.g. QGIS, ArcGIS) and programming (Python, R
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is Python. Demonstrated experience working with the Materials Project and pymatgen. Ability to work creatively, independently, and productively. Ability to work as a member of a large multidisciplinary
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analysis (e.g., knowledge of Qualtrics, R, Python, etc., with strong statistical theory). An outstanding research record appropriate to the present stage of career, with evidence of potential for producing
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programming using languages such as Bash, C, C++, or Python. This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration
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. Experience in Python code, Matlab, and LabChart. Knowledge of cardiovascular physiology. Department Contact for Questions Miranda Lockwood, SHRM-CP Human Resources Business Partner mjlockwo@iu.edu Additional
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of using and developing Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information
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software to implement the goals stated above (most likely in Python). § Disseminating results through posters/seminars and international meetings and meeting seminars. § Ensuring that all results
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, or related discipline). Degree must have been received within the past five years. Preferred skills: Experience with ecological modeling, spatial analysis and statistics, ArcGIS Pro software, Python
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High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Demonstrate Linux expertise including file systems, shell, hardware
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synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing and GIS analytics, and (d) data-driven model development. Demonstrated ability to meet deadlines and effectively